run-quality-gates

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Aktualisiert2. Mai 2026 um 18:52

Run Wildlife Watcher ruff, mypy, pytest, coverage, and ML pipeline checks through the repo harness. Use for lint, typecheck, regression, quality gate, and pre-merge validation tasks.

Installation

Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.

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Quelle

ianshank

ianshank/Wildlife_Watcher

GitHub-Repository öffnen Creator-Repositorys ansehen

Download

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

Softwarequalitätssicherungsanalysten und -testerInformatik- und Mathematikberufe·SOC 15-1253

SKILL.md

readonly

name	run-quality-gates
description	Run Wildlife Watcher ruff, mypy, pytest, coverage, and ML pipeline checks through the repo harness. Use for lint, typecheck, regression, quality gate, and pre-merge validation tasks.
argument-hint	Optional dry-run flag or reason for running the quality gate.
user-invocable	true

Run Quality Gates

When To Use

Validate a change before review or merge.
Reproduce the repo-standard ruff, mypy, pytest, coverage, and ML pipeline flow.
Confirm that setup and CI use the same commands.

Procedure

Activate the project virtual environment.
Run python .agents/harness/orchestrator.py quality.
When the slice touches ml-pipeline/, also run python .agents/harness/orchestrator.py ml-pipeline-lint, ml-pipeline-typecheck, ml-pipeline-test, and ml-pipeline-smoke.
If the gate fails, rerun the narrow failing command before editing more code.
Report the smallest failing slice, not the entire repo history.

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name	run-quality-gates
description	Run Wildlife Watcher ruff, mypy, pytest, coverage, and ML pipeline checks through the repo harness. Use for lint, typecheck, regression, quality gate, and pre-merge validation tasks.
argument-hint	Optional dry-run flag or reason for running the quality gate.
user-invocable	true

Run Quality Gates

When To Use

Validate a change before review or merge.
Reproduce the repo-standard ruff, mypy, pytest, coverage, and ML pipeline flow.
Confirm that setup and CI use the same commands.

Procedure

Activate the project virtual environment.
Run python .agents/harness/orchestrator.py quality.
When the slice touches ml-pipeline/, also run python .agents/harness/orchestrator.py ml-pipeline-lint, ml-pipeline-typecheck, ml-pipeline-test, and ml-pipeline-smoke.
If the gate fails, rerun the narrow failing command before editing more code.
Report the smallest failing slice, not the entire repo history.